Generative AI is rapidly transforming how project managers plan, monitor, and deliver complex initiatives. As organizations increasingly adopt AI project management tools, project professionals must learn how to use AI for project management to improve efficiency, enhance decision-making, and deliver projects more predictably.

AI for Project Managers: Prompt Engineering & Use Cases

AI for Project Managers: Prompt Engineering & Use Cases


Instructors: Ahmed Hassan
Access provided by UNIVERSITÉ DE GENÈVE
Recommended experience
What you'll learn
Core technologies behind generative AI, including LLMs, natural language processing, and predictive analytics.
High-value use cases for AI in project management across the project lifecycle: initiation, planning, execution, monitoring, and closing.
How GenAI tools assist with common project management activities such as generating charters, meeting summaries, and status reports.
Prompt engineering techniques for interacting effectively with AI tools for project management and generating reliable outputs.
Skills you'll gain
- Project Implementation
- Portfolio Management
- Change Requests
- Project Documentation
- Project Risk Management
- Resource Allocation
- Continuous Delivery
- Project Portfolio Management
- Artificial Intelligence
- Strategic Prioritization
- Prompt Engineering Tools
- Risk Management
- Prompt Patterns
- Project Management Office (PMO)
- Project Management
Tools you'll learn
Details to know

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August 2026
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There are 2 modules in this course
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